Nonparametric relative recursive regression
type: Item
instance of: scholarly article
title: Nonparametric relative recursive regression
zbMATH Open document ID: 1457.62118
author: Yousri Slaoui
author: Salah Khardani
published in: Dependence Modeling
publication date: 2021-01-14T00:00:00Z
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 62L20
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 65D10
zbMATH DE Number: 7294483
zbMATH Keywords: nonparametric regression
zbMATH Keywords: stochastic approximation algorithm
zbMATH Keywords: smoothing
zbMATH Keywords: curve fitting
zbMATH Keywords: relative regression
MaRDI profile type: Publication
full work available at URL: demo-2020-0013
OpenAlex ID: W3092280607
cites work: Functional data analysis: estimation of the relative error in functional regression under random left-truncation model
cites work: Nonparametric relative error regression for spatial random variables
cites work: A unified theory of regularly varying sequences
cites work: Least Absolute Relative Error Estimation
cites work: Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting
cites work: Relative-error prediction in nonparametric functional statistics: theory and practice
cites work: \(M\)-estimation of the regression function under random left truncation and functional time series model
cites work: Q4331760
cites work: Q3996878
cites work: Q4315271
cites work: Regularly Varying Sequences
cites work: Q4322328
cites work: Relative error prediction via kernel regression smoothers
cites work: Nonparametric relative regression under random censorship model
cites work: Recursive kernel density estimation and optimal bandwidth selection under \(\alpha\): mixing data
cites work: Predicting software errors, during development, using nonlinear regression models: a comparative study
cites work: General convergence results for stochastic approximations via weak convergence theory
cites work: Q4421713
cites work: Strong convergence of a stochastic approximation algorithm
cites work: Nonparametric relative regression for associated random variables
cites work: A companion for the Kiefer-Wolfowitz-Blum stochastic approximation algorithm
cites work: The stochastic approximation method for the estimation of a multivariate probability density
cites work: Revisiting R\'ev\'esz's stochastic approximation method for the estimation of a regression function
cites work: Prediction, Linear Regression and the Minimum Sum of Relative Errors
cites work: Relative-error prediction
cites work: Q4776665
cites work: How to apply the method of stochastic approximation in the non-parametric estimation of a regression function1
cites work: A Stochastic Approximation Method
cites work: Almost sure approximations to the Robbins-Monro and Kiefer-Wolfowitz processes with dependent noise
cites work: Multivariate locally weighted least squares regression
cites work: Q4727203
cites work: Bandwidth selection for recursive kernel density estimators defined by stochastic approximation method
cites work: The stochastic approximation method for estimation of a distribution function
cites work: Parameter estimation in a hierarchical random intercept model with censored response: an approach using a SEM algorithm and Gibbs sampling
cites work: Optimal bandwidth selection for semi-recursive kernel regression estimators
cites work: Recursive kernel density estimators under missing data
cites work: Bias reduction in kernel density estimation
cites work: Wild bootstrap bandwidth selection of recursive nonparametric relative regression for independent functional data
cites work: Two new nonparametric kernel distribution estimators based on a transformation of the data
cites work: Optimal rates of convergence for nonparametric estimators
cites work: Optimal global rates of convergence for nonparametric regression
cites work: Recursive estimation of the mode of a multivariate distribution
cites work: Q3996207
cites work: Multivariate plug-in bandwidth selection
cites work: Q5510038
cites work: General relative error criterion and M-estimation
DOI: 10.1515/DEMO-2020-0013
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description: scientific article; zbMATH DE number 7294483